CN101859317A - Method for establishing database cluster by utilizing virtualization - Google Patents

Method for establishing database cluster by utilizing virtualization Download PDF

Info

Publication number
CN101859317A
CN101859317A CN 201010167535 CN201010167535A CN101859317A CN 101859317 A CN101859317 A CN 101859317A CN 201010167535 CN201010167535 CN 201010167535 CN 201010167535 A CN201010167535 A CN 201010167535A CN 101859317 A CN101859317 A CN 101859317A
Authority
CN
China
Prior art keywords
resource
virtual machine
data
cluster
base cluster
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN 201010167535
Other languages
Chinese (zh)
Inventor
李志强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Inspur Electronic Information Industry Co Ltd
Original Assignee
Langchao Electronic Information Industry Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Langchao Electronic Information Industry Co Ltd filed Critical Langchao Electronic Information Industry Co Ltd
Priority to CN 201010167535 priority Critical patent/CN101859317A/en
Publication of CN101859317A publication Critical patent/CN101859317A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention provides a method for establishing a database cluster by utilizing virtualization, which utilizes the technical advantages of virtualization, ensures that all processing units in the database cluster obtain optimal resources, simultaneously improves the resource utilization rate of a physical hardware, and realizes the rapid deployment, expansion of the database cluster, the dynamic migration, the resource isolation of a multi-cluster system and the dynamic management of system resources, wherein the all processing units in the database cluster obtain optimal resources, i.e. a CPU, a memory and IO resources are customized and allocated in advance for a virtual machine according to the requirements of the processing unit in the database cluster for the resources in an underlying server system of the virtual machine; the improvement of the utilization rate of system resources means that a plurality of virtual machines are deployed and operated on the underlying server system of the virtual machine so as to improve the resource utilization rate of the underlying server of the virtual machine; the rapid deployment and expansion of the database cluster mean that the rapid expansion of the database cluster is realized through the mirroring replication function of a virtualized software; and the dynamic migration means that the dynamic migration of the virtual machine is realized by utilizing the virtualized software, and the service of the database cluster is not interrupted.

Description

A kind of method of utilizing virtual structure data-base cluster
Technical field
The present invention relates to the data-base cluster application, be specifically related to a kind of method of utilizing virtual structure data-base cluster, utilize virtual machine technique that data base cluster system is carried out resource optimization, dispose fast and expand dynamic migration and resource dynamic management.
Background technology
The database environment that data-base cluster (Oracle Real Application Cluster is called for short Oracle RAC) requires for most of key businesses provides high performance and perfect error correction.It not only allows the same physical database of a plurality of nodes sharing in group system or the large-scale parallel system; between multinode, carry out load balance, fault restoration and planning stop time automatically; to support high-availability applications; and, significantly improved the performance of large data warehouse and decision support system (DSS) by combining the concurrency that internodal concurrency and intranodal are provided with the parallel query option.
Talk about publicly knownly, along with the national information construction deepens continuously, it also is more and more widely that data-base cluster is used.But, from operation system actual motion overall condition, and unsatisfactory.One association database cluster application problem investigation result shows: the relevant responsible official near 1/3 represents that system does not bring into play actual performance, and there is the bigger wasting of resources in the average system load less than 20%; Responsible official near 1/5 represents that the data base cluster system deployment is loaded down with trivial details, misarrangement difficulty in the deployment; Responsible official above 1/10% represents system upgrade, migration, expansion complexity, must rely on the technical support of specialty just can realize; Simultaneously nearly 2/5 relevant responsible official represents that system resource management is opaque, usually can use and management is raised one's hand hopeless for system resource.
So whether a kind of outstanding solution is arranged, assurance can utilize the technical advantage of data-base cluster, can realize the cluster system resource reasonably optimizing again, group system is upgraded, expansion is fast and simple, realize the resource dynamic management of group system simultaneously? the problem that this present invention just attempted solving.
Summary of the invention
The purpose of this invention is to provide a kind of method that makes up virtual data-base cluster.
The method that purpose of the present invention makes up virtual data-base cluster realizes in the following manner, utilize virtualized technical advantage, guarantee that all processing units in the data-base cluster obtain optimized resource, improve the resource utilization of physical hardware simultaneously, the resource isolation of quick deployment of fulfillment database cluster and expansion, dynamic migration, multi-cluster system and the dynamic management of system resource; Wherein:
All processing units in the data-base cluster obtain optimized resource, are meant in virtual machine bottom server system according to the demand of the processing unit in the data-base cluster to resource, in advance to virtual machine customization distribution CPU, internal memory, IO resource;
Improve resource utilization ratio, be meant by moving a plurality of virtual machines and improve virtual machine bottom server resource utilization factor in virtual machine bottom server system deploy;
Data-base cluster is disposed and expansion fast, is meant the image copying function by virtualization software, the quick expansion of fulfillment database cluster;
Dynamic migration be meant the dynamic migration that utilizes virtualization software to realize virtual machine, and the data-base cluster service is not interrupted;
The resource isolation of multi-cluster system is meant in the virtual machine deploy and overlaps the independent database group system more, and the resource of every sets of data storehouse group system is relatively independent;
The dynamic management of system resource is meant the distributed resource scheduling function by virtualization software, integrates a plurality of resource pools or virtual machine bottom server is dynamically adjusted computational resource, and based on predefined regular smart allocation resource;
Excellent effect of the present invention is, utilizes the virtualization software technology, and virtual machine and data base set group configuration are saved as template file, then with this template file quick copy in other virtual machine bottom servers.Start 3 virtual machine bottom servers, start all virtual machines and data base cluster system simultaneously.Utilize the distributed resource scheduling function to realize the resource dynamic management of disparate databases cluster application system.
Description of drawings
Accompanying drawing 1 is based on virtual structure data-base cluster solution;
Accompanying drawing 2 is virtual data-base cluster Organization Chart.
Embodiment
With reference to Figure of description to explaining below the work of the present invention.
The method of the virtual data-base cluster of structure of the present invention, the method for utilizing virtual structure data-base cluster of introducing just can effectively address the above problem.For guaranteeing that all processing units in the data-base cluster obtain optimized resource, improve the resource utilization of physical hardware simultaneously, can utilize virtualized technical advantage again, the resource isolation of quick deployment of fulfillment database cluster and expansion, dynamic migration, multi-cluster system and the dynamic management of system resource.
Suppose that certain user has 4 cover application systems at present, the user wishes that hardware investment will minimize, and management maintenance will be simplified most.Application facet will satisfy every sets of data storehouse application system and realize resource isolation with other system, also need simultaneously can the dynamic debugging system resource with the peak period of each operation system that staggers.In addition, the user wishes to make up such cover system fast.
At above-mentioned user's request, the present invention has designed the solution that contains 3 virtual machine bottom servers (actual physical server), in the hardware environment of forming by 3 virtual machine bottom servers, dispose virtualization software, comprising virtual bottom server and virtual machine, then at virtual machine deploy data-base cluster.
On 3 actual physical server bare machines, install to dispose virtual machine bottom server (Virtual MachineServer), then virtual machine bottom server (Virtual Machine Server) the last distribution processor of V1 (CPU) resource, internal memory (MEMERY) resource, disk (DISK) resource 25% to virtual machine (VirtualMachine Guest).Linux or Windows operating system are installed on virtual machine, the basic running environment of group system is set.Under virtual machine (Virtual Machine Guest) operating system, install then and dispose data-base cluster software (Oracle RAC) and carry out cluster configuration.Dispose distributed resource scheduling software at last, 3 real server are carried out the resources allocation rule definition.
Its structure is as follows by concrete steps of the invention process:
1) design based on virtual structure data-base cluster solution at user's request, virtualization software cooperates data-base cluster;
2) on 3 actual physical servers (called after: V1, V2, V3), dispose virtual machine bottom server software respectively;
3) on 1 virtual machine bottom server, dispose 4 virtual machines respectively, called after V1-1/2/3/4;
4) according to the demand of user's 4 cover application systems, 4 virtual machines are carried out the resource customization to resource.If the user does not have specific (special) requirements, then temporarily according to 1: 1: 1: 1 resource distribution mode is disposed virtual machine (mainly being CPU, internal memory, disk resource distribution);
5) at virtual machine V1-1/2/3/4 deploy data-base cluster standalone version, called after RACA/B/C/D, utilize the image copying function of virtualization software, to be configured the V1-1/2/3/4 that finishes and the RACA/B/C/D template file directly copies to V2 and above the V3, start also to revise V2-1/2/3/4, V3-1/2/3/4 and RACA/B/C/D virtual machine and data-base cluster basic configuration;
6) the RACA/B/C/D data-base cluster comprises RACA-1/2/3/4, RACB-1/2/3/4, RACC-1/2/3/4 and RACD-1/2/3/4 again.Wherein RACA/B/C/D is an application data base cluster global title, and RACA-1/2/3/4 is the title of processing unit in the data base cluster system.Application data base cluster RACA/B/C/D isolates aspect resource fully in present design;
7), in RACA/B/C/D data-base cluster application system, during a certain application system peak state, can from other application systems, dynamically adjust resource at 3 virtual machine bottom server deploy distributed resource scheduling softwares;
8) from step 5 as can be seen, utilize the inventive method, aspect group system expansion and migration, also very convenient and simple.

Claims (1)

1. method of utilizing virtual structure data-base cluster, it is characterized in that, utilize virtualized technical advantage, guarantee that all processing units in the data-base cluster obtain optimized resource, improve the resource utilization of physical hardware simultaneously, the resource isolation of quick deployment of fulfillment database cluster and expansion, dynamic migration, multi-cluster system and the dynamic management of system resource; Wherein:
All processing units in the data-base cluster obtain optimized resource, are meant in virtual machine bottom server system according to the demand of the processing unit in the data-base cluster to resource, in advance to virtual machine customization distribution CPU, internal memory, IO resource;
Improve resource utilization ratio, be meant by moving a plurality of virtual machines and improve virtual machine bottom server resource utilization factor in virtual machine bottom server system deploy;
Data-base cluster is disposed and expansion fast, is meant the image copying function by virtualization software, the quick expansion of fulfillment database cluster;
Dynamic migration be meant the dynamic migration that utilizes virtualization software to realize virtual machine, and the data-base cluster service is not interrupted;
The resource isolation of multi-cluster system is meant in the virtual machine deploy and overlaps the independent database group system more, and the resource of every sets of data storehouse group system is relatively independent;
The dynamic management of system resource is meant the distributed resource scheduling function by virtualization software, integrates a plurality of resource pools or virtual machine bottom server is dynamically adjusted computational resource, and based on predefined regular smart allocation resource;
Concrete steps are as follows:
1) at the data-base cluster of user's request design based on the virtualization software cooperation of virtual structure;
2) on 3 actual physical server V1, V2, V3, dispose virtual machine bottom server software respectively;
3) on 1 virtual machine bottom server, dispose 4 virtual machines respectively, called after V1-1/2/3/4;
4) according to the demand of user's 4 cover application systems to resource, 4 virtual machines are carried out the resource customization, the user does not have specific (special) requirements, and then temporarily according to 1: 1: 1: CPU, internal memory, disk resource that 1 resource distribution mode is disposed virtual machine distribute;
5) at virtual machine V1-1/2/3/4 deploy data-base cluster standalone version, called after RACA/B/C/D, utilize the image copying function of virtualization software, to be configured the V1-1/2/3/4 that finishes and the RACA/B/C/D template file directly copies to V2 and above the V3, start also to revise V2-1/2/3/4, V3-1/2/3/4 and RACA/B/C/D virtual machine and data-base cluster basic configuration;
6) the RACA/B/C/D data-base cluster comprises RACA-1/2/3/4, RACB-1/2/3/4, RACC-1/2/3/4 and RACD-1/2/3/4 again, wherein RACA/B/C/D is an application data base cluster global title, RACA-1/2/3/4 is the title of processing unit in the data base cluster system, and application data base cluster RACA/B/C/D isolates aspect resource fully in present design;
7), in RACA/B/C/D data-base cluster application system, during a certain application system peak state, from other application systems, dynamically adjust resource at 3 virtual machine bottom server deploy distributed resource scheduling softwares.
CN 201010167535 2010-05-10 2010-05-10 Method for establishing database cluster by utilizing virtualization Pending CN101859317A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010167535 CN101859317A (en) 2010-05-10 2010-05-10 Method for establishing database cluster by utilizing virtualization

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010167535 CN101859317A (en) 2010-05-10 2010-05-10 Method for establishing database cluster by utilizing virtualization

Publications (1)

Publication Number Publication Date
CN101859317A true CN101859317A (en) 2010-10-13

Family

ID=42945230

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010167535 Pending CN101859317A (en) 2010-05-10 2010-05-10 Method for establishing database cluster by utilizing virtualization

Country Status (1)

Country Link
CN (1) CN101859317A (en)

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102073536A (en) * 2011-01-11 2011-05-25 济南银泉科技有限公司 Method for editing template into warehouse by cloud platform and generating virtual machines in bulk
CN102117226A (en) * 2011-03-18 2011-07-06 浪潮(北京)电子信息产业有限公司 Resource dispatching system and resource dispatching method
CN102394799A (en) * 2011-11-29 2012-03-28 山东中创软件工程股份有限公司 Testing method of efficiency of application server cluster and system thereof
CN102402616A (en) * 2011-12-22 2012-04-04 北京新媒传信科技有限公司 Method and system for realizing database cluster
CN102457575A (en) * 2010-10-22 2012-05-16 国际商业机器公司 Server consolidation system
CN102546379A (en) * 2010-12-27 2012-07-04 中国移动通信集团公司 Virtualized resource scheduling method and system
CN102917072A (en) * 2012-10-31 2013-02-06 北京奇虎科技有限公司 Device, system and method for carrying out data migration between data server clusters
CN103118121A (en) * 2013-02-19 2013-05-22 浪潮电子信息产业股份有限公司 Application method of high availability cluster in virtualization technology
WO2013170504A1 (en) * 2012-05-16 2013-11-21 天津书生投资有限公司 Large data storage system
CN103647840A (en) * 2013-12-19 2014-03-19 深圳市青葡萄科技有限公司 Distributed management method of symmetric cluster
CN103713952A (en) * 2013-12-17 2014-04-09 创新科存储技术(深圳)有限公司 Virtual disk distributed-memory method based on UFS (Universal Flash Storage)
CN104079657A (en) * 2014-07-07 2014-10-01 用友软件股份有限公司 Configurable cluster deployment device and method based on templates
CN104699419A (en) * 2013-12-09 2015-06-10 陈勋元 Operation method of distributed memory disk cluster storage system
CN104995604A (en) * 2015-03-03 2015-10-21 华为技术有限公司 Resource allocation method of virtual machine and device thereof
CN105468625A (en) * 2014-09-04 2016-04-06 中国石油化工股份有限公司 Database cluster constructing method by using virtual machine
CN105550094A (en) * 2015-12-10 2016-05-04 国网四川省电力公司信息通信公司 Automatic state monitoring method of high-availability system
CN106126338A (en) * 2016-06-21 2016-11-16 浪潮(北京)电子信息产业有限公司 A kind of method and device of cluster virtual machine telescopic arrangement
CN106250205A (en) * 2016-07-22 2016-12-21 浪潮(北京)电子信息产业有限公司 A kind of virtual machine method for customizing and system
CN106371929A (en) * 2016-09-20 2017-02-01 郑州云海信息技术有限公司 Heterogeneous resource pool establishing method
CN106776998A (en) * 2016-12-06 2017-05-31 华为技术有限公司 A kind of database service provides method and server
CN106919445A (en) * 2015-12-28 2017-07-04 华为技术有限公司 A kind of method and apparatus of the container of Parallel Scheduling in the cluster
CN107016059A (en) * 2017-03-10 2017-08-04 北京聚睿智能科技有限公司 A kind of data-base cluster dispositions method, device and physical server
CN110221779A (en) * 2019-05-29 2019-09-10 清华大学 The construction method of distributed persistence memory storage system
CN110839023A (en) * 2019-11-05 2020-02-25 北京中电普华信息技术有限公司 Electric power marketing multi-channel customer service system
CN111108479A (en) * 2017-09-30 2020-05-05 甲骨文国际公司 Autonomic multi-tenant database cloud service framework
US10754704B2 (en) 2018-07-11 2020-08-25 International Business Machines Corporation Cluster load balancing based on assessment of future loading

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1545275A (en) * 2003-11-21 2004-11-10 清华大学深圳研究生院 Flow-media cluster service content scheduling method based on Netfilter architecture
CN1836212A (en) * 2003-08-14 2006-09-20 甲骨文国际公司 Automatic and dynamic provisioning of databases
US20070203944A1 (en) * 2006-02-28 2007-08-30 International Business Machines Corporation Web services database cluster architecture

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1836212A (en) * 2003-08-14 2006-09-20 甲骨文国际公司 Automatic and dynamic provisioning of databases
CN1545275A (en) * 2003-11-21 2004-11-10 清华大学深圳研究生院 Flow-media cluster service content scheduling method based on Netfilter architecture
US20070203944A1 (en) * 2006-02-28 2007-08-30 International Business Machines Corporation Web services database cluster architecture

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《制造业自动化》 20091130 尹作重等 虚拟数据库中间件关键技术的研究 58-61 1 第31卷, 第11期 2 *

Cited By (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457575B (en) * 2010-10-22 2015-05-20 国际商业机器公司 Server consolidation method, device and system
CN102457575A (en) * 2010-10-22 2012-05-16 国际商业机器公司 Server consolidation system
US10797953B2 (en) 2010-10-22 2020-10-06 International Business Machines Corporation Server consolidation system
CN102546379B (en) * 2010-12-27 2014-12-31 中国移动通信集团公司 Virtualized resource scheduling method and system
CN102546379A (en) * 2010-12-27 2012-07-04 中国移动通信集团公司 Virtualized resource scheduling method and system
CN102073536A (en) * 2011-01-11 2011-05-25 济南银泉科技有限公司 Method for editing template into warehouse by cloud platform and generating virtual machines in bulk
CN102117226A (en) * 2011-03-18 2011-07-06 浪潮(北京)电子信息产业有限公司 Resource dispatching system and resource dispatching method
CN102394799A (en) * 2011-11-29 2012-03-28 山东中创软件工程股份有限公司 Testing method of efficiency of application server cluster and system thereof
CN102394799B (en) * 2011-11-29 2013-10-30 山东中创软件工程股份有限公司 Testing method of efficiency of application server cluster and system thereof
CN102402616A (en) * 2011-12-22 2012-04-04 北京新媒传信科技有限公司 Method and system for realizing database cluster
CN102402616B (en) * 2011-12-22 2015-01-14 北京新媒传信科技有限公司 Method and system for realizing database cluster
CN103428232A (en) * 2012-05-16 2013-12-04 天津书生投资有限公司 Large data storage system
WO2013170504A1 (en) * 2012-05-16 2013-11-21 天津书生投资有限公司 Large data storage system
CN102917072B (en) * 2012-10-31 2016-07-13 北京奇虎科技有限公司 For carrying out the equipment of Data Migration, system and method between data server cluster
CN102917072A (en) * 2012-10-31 2013-02-06 北京奇虎科技有限公司 Device, system and method for carrying out data migration between data server clusters
CN103118121B (en) * 2013-02-19 2017-05-17 浪潮电子信息产业股份有限公司 Application method of high availability cluster in virtualization technology
CN103118121A (en) * 2013-02-19 2013-05-22 浪潮电子信息产业股份有限公司 Application method of high availability cluster in virtualization technology
CN104699419A (en) * 2013-12-09 2015-06-10 陈勋元 Operation method of distributed memory disk cluster storage system
CN104699419B (en) * 2013-12-09 2020-05-12 陈勋元 Operation method of distributed memory disk cluster storage system
CN103713952B (en) * 2013-12-17 2017-02-15 创新科存储技术(深圳)有限公司 Virtual disk distributed-memory method based on UFS (Universal Flash Storage)
CN103713952A (en) * 2013-12-17 2014-04-09 创新科存储技术(深圳)有限公司 Virtual disk distributed-memory method based on UFS (Universal Flash Storage)
CN103647840A (en) * 2013-12-19 2014-03-19 深圳市青葡萄科技有限公司 Distributed management method of symmetric cluster
CN104079657A (en) * 2014-07-07 2014-10-01 用友软件股份有限公司 Configurable cluster deployment device and method based on templates
CN105468625A (en) * 2014-09-04 2016-04-06 中国石油化工股份有限公司 Database cluster constructing method by using virtual machine
US10572290B2 (en) 2015-03-03 2020-02-25 Huawei Technologies Co., Ltd. Method and apparatus for allocating a physical resource to a virtual machine
CN112181585A (en) * 2015-03-03 2021-01-05 华为技术有限公司 Resource allocation method and device for virtual machine
CN104995604A (en) * 2015-03-03 2015-10-21 华为技术有限公司 Resource allocation method of virtual machine and device thereof
CN105550094A (en) * 2015-12-10 2016-05-04 国网四川省电力公司信息通信公司 Automatic state monitoring method of high-availability system
CN105550094B (en) * 2015-12-10 2018-02-06 国网四川省电力公司信息通信公司 A kind of high-availability system state automatic monitoring method
CN106919445B (en) * 2015-12-28 2021-08-20 华为技术有限公司 Method and device for scheduling containers in cluster in parallel
CN106919445A (en) * 2015-12-28 2017-07-04 华为技术有限公司 A kind of method and apparatus of the container of Parallel Scheduling in the cluster
CN106126338A (en) * 2016-06-21 2016-11-16 浪潮(北京)电子信息产业有限公司 A kind of method and device of cluster virtual machine telescopic arrangement
CN106250205B (en) * 2016-07-22 2019-09-24 浪潮(北京)电子信息产业有限公司 A kind of virtual machine method for customizing and system
CN106250205A (en) * 2016-07-22 2016-12-21 浪潮(北京)电子信息产业有限公司 A kind of virtual machine method for customizing and system
CN106371929A (en) * 2016-09-20 2017-02-01 郑州云海信息技术有限公司 Heterogeneous resource pool establishing method
CN106776998B (en) * 2016-12-06 2020-01-21 华为技术有限公司 Database service providing method and server
CN106776998A (en) * 2016-12-06 2017-05-31 华为技术有限公司 A kind of database service provides method and server
CN107016059A (en) * 2017-03-10 2017-08-04 北京聚睿智能科技有限公司 A kind of data-base cluster dispositions method, device and physical server
CN111108479B (en) * 2017-09-30 2023-04-11 甲骨文国际公司 Autonomic multi-tenant database cloud service framework
CN111108479A (en) * 2017-09-30 2020-05-05 甲骨文国际公司 Autonomic multi-tenant database cloud service framework
US10754704B2 (en) 2018-07-11 2020-08-25 International Business Machines Corporation Cluster load balancing based on assessment of future loading
CN110221779A (en) * 2019-05-29 2019-09-10 清华大学 The construction method of distributed persistence memory storage system
CN110221779B (en) * 2019-05-29 2020-06-19 清华大学 Construction method of distributed persistent memory storage system
CN110839023B (en) * 2019-11-05 2022-03-25 北京中电普华信息技术有限公司 Electric power marketing multi-channel customer service system
CN110839023A (en) * 2019-11-05 2020-02-25 北京中电普华信息技术有限公司 Electric power marketing multi-channel customer service system

Similar Documents

Publication Publication Date Title
CN101859317A (en) Method for establishing database cluster by utilizing virtualization
US11775335B2 (en) Platform independent GPU profiles for more efficient utilization of GPU resources
US11182196B2 (en) Unified resource management for containers and virtual machines
US11663085B2 (en) Application backup and management
US9977689B2 (en) Dynamic scaling of management infrastructure in virtual environments
CN110417613B (en) Distributed performance testing method, device, equipment and storage medium based on Jmeter
US11314687B2 (en) Container data mover for migrating data between distributed data storage systems integrated with application orchestrators
US9336132B1 (en) Method and system for implementing a distributed operations log
US10216758B2 (en) Multi-tenant production and test deployments of Hadoop
US11194569B2 (en) Method, electronic device and medium for upgrading a hyper-converged infrastructure node
US11520673B2 (en) Maintenance operations based on analysis of collected data
US11442817B2 (en) Intelligent scheduling of backups
Zhang et al. CBase: A new paradigm for fast virtual machine migration across data centers
US11886898B2 (en) GPU-remoting latency aware virtual machine migration
US20230418716A1 (en) Anti-entropy-based metadata recovery in a strongly consistent distributed data storage system
US10579419B2 (en) Data analysis in storage system
WO2012001444A1 (en) Virtual machine splitting method and system
RU2543962C2 (en) Hardware-computer system for virtualisation and management of resources in cloud computing environment
US11086615B2 (en) Virtual appliance upgrades in high-availability (HA) computing clusters
WO2012001445A1 (en) Virtual machine merging method and system
Dell
Kong et al. Multi-level image software assembly technology based on OpenStack and Ceph
JP5704331B2 (en) Backup management device, backup method, and program
CN102541586A (en) Software updating method and software updating device
JP2010033599A (en) Unshared database management system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20101013